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两种基于实验室的人工晶状体光晕评估系统的比较。

Comparison of two laboratory-based systems for evaluation of halos in intraocular lenses.

作者信息

Carson Daniel, Lee Sangyeol, Alexander Elsinore, Wei Xin, Lee Shinwook

机构信息

Alcon Research, Ltd., Fort Worth, TX, USA.

出版信息

Clin Ophthalmol. 2018 Feb 21;12:385-393. doi: 10.2147/OPTH.S152201. eCollection 2018.

DOI:10.2147/OPTH.S152201
PMID:29503526
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5826305/
Abstract

PURPOSE

Multifocal intraocular lenses (IOLs) can be associated with unwanted visual phenomena, including halos. Predicting potential for halos is desirable when designing new multifocal IOLs. Halo images from 6 IOL models were compared using the Optikos modulation transfer function bench system and a new high dynamic range (HDR) system.

MATERIALS AND METHODS

One monofocal, 1 extended depth of focus, and 4 multifocal IOLs were evaluated. An off-the-shelf optical bench was used to simulate a distant (>50 m) car headlight and record images. A custom HDR system was constructed using an imaging photometer to simulate headlight images and to measure quantitative halo luminance data. A metric was developed to characterize halo luminance properties. Clinical relevance was investigated by correlating halo measurements to visual outcomes questionnaire data.

RESULTS

The Optikos system produced halo images useful for visual comparisons; however, measurements were relative and not quantitative. The HDR halo system provided objective and quantitative measurements used to create a metric from the area under the curve (AUC) of the logarithmic normalized halo profile. This proposed metric differentiated between IOL models, and linear regression analysis found strong correlations between AUC and subjective clinical ratings of halos.

CONCLUSION

The HDR system produced quantitative, preclinical metrics that correlated to patients' subjective perception of halos.

摘要

目的

多焦点人工晶状体(IOL)可能会出现包括光晕在内的不良视觉现象。在设计新型多焦点人工晶状体时,预测光晕的可能性是很有必要的。使用Optikos调制传递函数试验台系统和一种新的高动态范围(HDR)系统对6种人工晶状体模型的光晕图像进行了比较。

材料与方法

评估了1片单焦点、1片扩展景深和4片多焦点人工晶状体。使用现成的光具座模拟远处(>50米)的汽车前照灯并记录图像。使用成像光度计构建了一个定制的HDR系统,以模拟前照灯图像并测量定量的光晕亮度数据。开发了一种度量标准来表征光晕亮度特性。通过将光晕测量值与视觉结果问卷数据相关联来研究临床相关性。

结果

Optikos系统生成的光晕图像有助于视觉比较;然而,测量是相对的,不是定量的。HDR光晕系统提供了客观的定量测量,用于根据对数归一化光晕轮廓曲线下的面积(AUC)创建一个度量标准。这个提议的度量标准区分了人工晶状体模型,线性回归分析发现AUC与光晕的主观临床评分之间有很强的相关性。

结论

HDR系统产生了与患者对光晕的主观感知相关的定量临床前度量标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/24d3344f3b02/opth-12-385Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/1ef2c7898569/opth-12-385Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/f3a3ab10baf1/opth-12-385Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/e4f0ab2dc927/opth-12-385Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/a37bfb78924f/opth-12-385Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/21de8f43618f/opth-12-385Fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/24d3344f3b02/opth-12-385Fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/1ef2c7898569/opth-12-385Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/f3a3ab10baf1/opth-12-385Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/e4f0ab2dc927/opth-12-385Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/a37bfb78924f/opth-12-385Fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/21de8f43618f/opth-12-385Fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/182d/5826305/24d3344f3b02/opth-12-385Fig6.jpg

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